Hello!

This is my project for the tabular data competition of september from kaggle.

It consists of a LGBMClassifier model tuned with Optuna with roc_auc score of 81.58% in Kaggle's public leaderboard.

tabular_data_sep.ipynb is a notebook containing EDA and model development.

Data Scientists

Name		Name	Last commit message	Last commit date
Latest commit History 36 Commits
.dvc		.dvc
.github/workflows		.github/workflows
.dvcignore		.dvcignore
Functions.py		Functions.py
Pipelines.py		Pipelines.py
README.md		README.md
optimize.py		optimize.py
reduce_mem_usage.py		reduce_mem_usage.py
requeriments.txt		requeriments.txt
tabular_data_sep.ipynb		tabular_data_sep.ipynb
train_pipeline.py		train_pipeline.py